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Updated: Jul 25, 2026

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
Published on: April 9, 2019
What to expect from a non-suspicious prostate MRI? A review
G Fiard1, J M Norris2, T A Nguyen3
1UCL Division of Surgery and Interventional Science, University College London, London, UK; Department of Urology, University College London Hospital NHS Foundation Trust, London, UK; Department of Urology, Grenoble Alpes University Hospital, Grenoble, France; Université Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, Grenoble, France.
Multiparametric MRI (mpMRI) is accurate for prostate cancer detection. For non-suspicious mpMRI scans, PSA density helps determine the need for biopsy, improving clinical decisions for prostate cancer diagnosis.
Area of Science:
- Urology
- Radiology
- Oncology
Background:
- Multiparametric MRI (mpMRI) is increasingly recommended for prostate cancer diagnosis.
- Clinical decisions for men with non-suspicious mpMRI (Likert/PIRADS 1-2) remain variable.
- Understanding the role of mpMRI in guiding biopsy decisions is crucial.
Purpose of the Study:
- To review recent literature on mpMRI for prostate cancer.
- To determine if systematic biopsy is needed for non-suspicious mpMRI.
- To identify predictive factors for biopsy decisions and understand MRI-invisible cancers.
Main Methods:
- A narrative review of Medline database searches.
- Keywords included "MRI", "prostate cancer", "diagnosis", "biopsy", "non-suspicious", "negative", "invisible", and "MRI visible".
- Studies published within the last 5 years in English were assessed.
Main Results:
- mpMRI has a high negative predictive value (NPV) for clinically significant prostate cancer (76-99%).
- PSA density (PSAd < 0.15 ng/ml/ml) is a key factor in deciding on biopsy for non-suspicious mpMRI.
- MRI-invisible tumors exhibit distinct histopathological and genetic profiles.
Conclusions:
- mpMRI demonstrates high diagnostic accuracy for prostate cancer.
- PSA density aids in selecting patients for biopsy after a negative mpMRI.
- Further research into MRI visibility mechanisms and genetics will enhance risk assessment tools.
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